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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 116
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    Explanations

    terms related to the concept of "bearing fruit" or achieving successful outcomes

    oai_token-act-pair · gpt-3.5-turbo

    the use of the verb "bear" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opus
    -0.80
    inx
    -0.75
    antha
    -0.70
    earch
    -0.70
    anwhile
    -0.69
    lectic
    -0.69
    arta
    -0.68
    apo
    -0.67
    iltration
    -0.67
    edy
    -0.66
    POSITIVE LOGITS
     witness
    0.97
    beit
    0.96
     resemblance
    0.92
     fruit
    0.88
     brunt
    0.84
     resemb
    0.77
    Charges
    0.76
    bear
    0.74
     repeating
    0.73
     Bears
    0.73
    Activations Density 0.027%

    No Known Activations